Week 4 - Classification / Decision Trees
Learning Objectives
After today's class, you should be able to:
- Understand the decision tree algorithm for classification tasks, enabling the extraction of interpretable rules to inform effective decision making.
- Develop and implement decision tree classification models and visualize the output tree structure in Python.
Class Agenda
- Classification / Decision Tree Slides
[5 min]Break- Decision Tree Python Demo
[30 min]Python Q&A/Debugging Help
Task List
- Required Reading: Chapter 9.1-9.5 - Classification and Regression Trees
- Complete and Submit PA2_Wine_Customer_Segmentation on Canvas/Gradescope.